안녕하세요.

2026년 5월 27일 (수), 경희대학교 정윤태 교수님을 모시고 세미나를 진행합니다.

지속가능 IT 기술 세미나는 IT 기술의 지속 가능성과 관련한 최신 연구 및 동향을 다루는 강의로, 다양한 전공 분야의 전문가를 초빙하여 깊이 있는 강연을 제공합니다.

관심 있는 학생 여러분의 많은 참여 바랍니다.

[세미나 상세 정보]

■일시: 2026년 5월 27일 (수) 17:00 ~ 17:50

■장소: 제1공학관 23동 23219호

■연사: 정윤태 교수님 (경희대학교)

■강의제목: Neural Recording ICs for Next-Generation Brain–Computer Interfaces

■Abstract

:  Brain–computer interfaces are emerging as a key technology for understanding neural activity, restoring lost sensory and motor functions, and enabling closed-loop neurotherapeutic systems. At the core of these systems are neural recording integrated circuits that must acquire microvolt-level neural signals with low noise, low power consumption, high input impedance, and high channel density. However, scaling neural recording systems toward next-generation applications presents significant circuit and system-level challenges, including electrode–tissue interface constraints, motion and stimulation artifacts, limited dynamic range, and strict area and power budgets.

This presentation will introduce the fundamentals and recent trends of neural recording ICs for brain–computer interfaces. Key circuit techniques, including low-noise neural amplifiers, ADC architectures, multi-channel readout strategies, and direct-digitization approaches, will be discussed. The talk will also highlight future challenges and opportunities toward scalable, robust, and low-power neural interface ICs for next-generation neurotechnology.

■간단한 이력 (Biography)

: Yoontae Jung received the B.S., M.S., and Ph.D. degrees in electrical engineering from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea, in 2017, 2019, and 2024, respectively. From 2024 to 2026, he was a full-time Researcher at imec, Leuven, Belgium, where he worked with the Biomedical Analog IC Team. Since 2026, he has been an Assistant Professor with the School of Electronic Engineering, Kyung Hee University, Yongin, South Korea. His research interests include low-power sensor interface circuits for physical AI, biomedical circuits, mixed-signal integrated circuits, and on-sensor AI. He was a recipient of the IEEE Solid-State Circuits Society (SSCS) Predoctoral Achievement Award for 2023–2024.

■HOST : 전정훈 교수 (現 정보통신대학장 / 반도체시스템공학과)